Springer Verlag;Berlin/Heidelberg: Springer Berlin Heidelberg
摘要:
摘要： A parametric robust approach for analyzing correlated count data is introduced. This method enables one to construct an asymptotically valid likelihood for the regression parameter when knowledge about the joint distribution for data is scarce or not available. We use simulations and real data analysis to demonstrate the merit of the proposed robust likelihood method. 其他題名： Comput Stat 出版者： Berlin/Heidelberg: Springer Berlin Heidelberg 出版日期： 2016-09 出處： Computational statistics, 2016-09, Vol.31 (3), p.845-857 資源來源： ABI/INFORM Collection 版權： Springer-Verlag Berlin Heidelberg 2015 版權： Springer-Verlag Berlin Heidelberg 2016 識別號： ISSN: 0943-4062 識別號： EISSN: 1613-9658 識別號： DOI: 10.1007/s00180-015-0589-3
